I wanted to start a broader mistakes and lessons thread around AI Tutorials.
A useful angle is evaluation, but it also connects with collaboration. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI Tutorials is genuinely useful and where it still needs improvement.
A useful angle is evaluation, but it also connects with collaboration. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI Tutorials is genuinely useful and where it still needs improvement.